PROPS
This is the development version of PROPS; for the stable release version, see PROPS.
PRObabilistic Pathway Score (PROPS)
Bioconductor version: Development (3.21)
This package calculates probabilistic pathway scores using gene expression data. Gene expression values are aggregated into pathway-based scores using Bayesian network representations of biological pathways.
Author: Lichy Han
Maintainer: Lichy Han <lhan2 at stanford.edu>
citation("PROPS")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("PROPS")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PROPS")
PRObabilistic Pathway Scores (PROPS) | HTML | R Script |
Reference Manual |
Details
biocViews | Bayesian, Classification, GeneExpression, Software |
Version | 1.29.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (7 years) |
License | GPL-2 |
Depends | |
Imports | bnlearn, reshape2, sva, stats, utils, Biobase |
System Requirements | |
URL |
See More
Suggests | knitr, rmarkdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | PROPS_1.29.0.tar.gz |
Windows Binary (x86_64) | PROPS_1.29.0.zip (64-bit only) |
macOS Binary (x86_64) | PROPS_1.29.0.tgz |
macOS Binary (arm64) | PROPS_1.29.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PROPS |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PROPS |
Bioc Package Browser | https://code.bioconductor.org/browse/PROPS/ |
Package Short Url | https://bioconductor.org/packages/PROPS/ |
Package Downloads Report | Download Stats |